Senior Biostatistician

University of Southern California•Los Angeles, CA

1d•Hybrid

About The Position

The Center for Economic and Social Research (CESR) at the University of Southern California is seeking a full-time Applied Biostatistician to join their dynamic team. The role involves leading and contributing to advanced statistical analyses, collaborating with multidisciplinary teams, and playing a key role in impactful research on aging and dementia. A primary responsibility will be to develop, maintain, and expand complex analytic pipelines for data imputation in ongoing longitudinal studies. This position offers an opportunity to lead independent projects, contribute to high-impact publications, and work in a collaborative, research-driven environment. It is a grant-funded, one-year fixed-term position with a hybrid work arrangement. Successful candidates should demonstrate research excellence through their publication record, possess exceptional analytical abilities, strong communication skills, and the capacity to lead projects while collaborating effectively. The team operates in a dynamic and supportive environment that values innovation and scientific excellence. CESR is an interdisciplinary institute focusing on longitudinal data collection, aging, cognition, brain health, health, and health disparities.

Requirements

PhD in biostatistics, statistics, epidemiology, or other quantitative social science field
Proficiency in R
Expertise in missing data imputation
Experience working with large-scale observational cohort studies or surveys
Familiarity with regression modeling, survival analysis, longitudinal data analysis
Exceptional written and verbal communication skills, with experience presenting findings
Demonstrated research skills, preferably in the form of peer reviewed publications
Minimum 5 years of experience

Nice To Haves

Proficiency in Stata and Mplus
Experience in item response theory or confirmatory factor analysis
Prior experience designing and leading complex simulation analysis to estimate statistical power for complex analyses and answer empirical methodological questions
A minimum of 3 years of experience after the completion of PhD

Responsibilities

Conduct data analysis using statistical programming with a focus on accuracy and reproducibility
Address missing data using imputation methods and other advanced statistical techniques
Apply theoretical knowledge and appropriate statistical tools to solve complex problems
Develop and implement statistical protocols for quality control
Summarize and communicate findings orally and in written form
Contribute to the preparation of papers for publication
Support the development of statistical plans and power analysis for proposal development